A first appraisal of Ocean DMS models and prospects for their use in climate prediction

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Author(s) Le Clainche, Yvonnick, Vézina, Alain, Levasseur, Maurice, Cropp, Roger A., Gunson, Jim R., Vallina, Sergio M., Vogt, Meike, Lancelot, Christiane, Allen, J. Icarus, Archer, D. Stephen, Bopp, Laurent, Deal, Clara, Elliott, Scott, Jin, Meibing, Malin, Gill, Schoemann, Véronique, Simó, Rafel, Six, Katharina D., Stefels, Jacqueline
Publication Type Journal Items, Publication Status: Published
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Title A first appraisal of Ocean DMS models and prospects for their use in climate prediction
Author(s) Le Clainche, Yvonnick
Vézina, Alain
Levasseur, Maurice
Cropp, Roger A.
Gunson, Jim R.
Vallina, Sergio M.
Vogt, Meike
Lancelot, Christiane
Allen, J. Icarus
Archer, D. Stephen
Bopp, Laurent
Deal, Clara
Elliott, Scott
Jin, Meibing
Malin, Gill
Schoemann, Véronique
Simó, Rafel
Six, Katharina D.
Stefels, Jacqueline
Description 13 p.
Journal or Series Title Global biogeochemical cycles
Volume Number 24
Issue Number 3
Start Page GB3021
ISSN 0886-6236
Publisher American Geophysical Union
Publication Place Washington, DC
Publication Date 2010
Abstract Ocean dimethylsulfide (DMS) produced by marine biota is the largest natural source of atmospheric sulfur, playing a major role in the formation and evolution of aerosols, and consequently affecting climate. Several dynamic process-based DMS models have been developed over the last decade, and work is progressing integrating them into climate models. Here we report on the first international comparison exercise of both 1D and 3D prognostic ocean DMS models. Four global 3D models were compared to global sea surface chlorophyll and DMS concentrations. Three local 1D models were compared to three different oceanic stations (BATS, DYFAMED, OSP) where available time series data offer seasonal coverage of chlorophyll and DMS variability. Two other 1D models were run at one site only. The major point of divergence among models, both within 3D and 1D models, relates to their ability to reproduce the summer peak in surface DMS concentrations usually observed at low to mid- latitudes. This significantly affects estimates of global DMS emissions predicted by the models. The inability of most models to capture this summer DMS maximum appears to be constrained by the basic structure of prognostic DMS models: dynamics of DMS and dimethylsulfoniopropionate (DMSP), the precursor of DMS, are slaved to the parent ecosystem models. Only the models which include environmental effects on DMS fluxes independently of ecological dynamics can reproduce this summer mismatch between chlorophyll and DMS. A major conclusion of this exercise is that prognostic DMS models need to give more weight to the direct impact of environmental forcing (e.g., irradiance) on DMS dynamics to decouple them from ecological processes.
DOI 10.1029/2009GB003721
Additional Notes Received 5 November 2009, Accepted 29 April 2010, Published 15 September 2010
Document Type Article
Publication Status Published
Language English
Assigned Organisational Unit(s) 03731
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NEBIS System Number 000041178
Source Database ID FORM-1292590088
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  author = "Le Clainche, Yvonnick and V{\'{e}}zina, Alain and Levasseur, Maurice and Cropp, Roger A. and Gunson, Jim R. and Vallina, Sergio M. and Vogt, Meike and Lancelot, Christiane and Allen, J. Icarus and Archer, D. Stephen and Bopp, Laurent and Deal, Clara and Elliott, Scott and Jin, Meibing and Malin, Gill and Schoemann, V{\'{e}}ronique and Sim{\'{o}}, Rafel and Six, Katharina D. and Stefels, Jacqueline",
  title = "{A} first appraisal of {O}cean {D}{M}{S} models and prospects for their use in climate prediction",
  journal = "Global biogeochemical cycles",
  year = 2010,
  volume = "24",
  number = "3",
  pages = "GB3021--",

E-Citations record created: Fri, 17 Dec 2010, 12:48:23 CET